TechRounder Data
Data Methodology
How source material becomes a searchable, versioned dataset on TechRounder Data.
Each dataset follows the same controlled path before it becomes public. The exact checks vary by subject, but the source, schema, validation result and publication history are always retained.
1. Select the source
We start with the organization responsible for the information whenever an official registry, standard, filing or support document is available. Secondary sources are used when they add necessary context or when no primary source exists.
2. Record the source details
The dataset package records the publisher, document title, source URL, source type, access date and any available publication or update date. These details appear on the public page so readers can inspect the source.
3. Define the fields
Before importing records, we declare every accepted field, its data type, whether it is required, and how it can be searched, filtered or sorted. Unexpected fields fail validation instead of being accepted silently.
4. Normalize without filling gaps
Names, dates, codes and lists are placed into a consistent format. We do not guess missing values. If a source does not specify a region, date or other detail, the record says so or leaves the value unavailable according to the declared schema.
5. Validate and compare
Automated checks cover required values, field types, duplicate identifiers, encoding, URLs and schema rules. The incoming version is then compared with the published version so additions, changes and missing records can be reviewed.
6. Publish a complete revision
Validated records enter staging first. Publication switches the complete reviewed revision into place in one operation, so visitors do not see a partly updated dataset. Earlier record versions and source details remain available for maintenance and audit work.
Updates and corrections
A dataset is checked again when its source changes, when a scheduled review is due or when a reader submits a supported correction. The verification date describes when we last checked the material. It does not mean the source cannot change later.